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Accelerating winograd convolutions using symbolic computation and meta-programming.

, , , , and . EuroSys, page 40:1-40:14. ACM, (2020)

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Understanding the Scalability of Molecular Simulation Using Empirical Performance Modeling., , and . ESPT/VPA@SC, volume 11027 of Lecture Notes in Computer Science, page 125-143. Springer, (2018)Score-P: A Unified Performance Measurement System for Petascale Applications., , , , , , , , , and 8 other author(s). CHPC, page 85-97. Springer, (2010)Noise-Resilient Empirical Performance Modeling with Deep Neural Networks., , , , , , and . IPDPS, page 23-34. IEEE, (2021)Empirical Modeling of Spatially Diverging Performance., , , , , , , and . HUST/ProTools@SC, page 71-80. IEEE, (2020)Adaptive multi-tier intelligent data manager for Exascale., , , , , , , , , and 3 other author(s). CF, page 285-290. ACM, (2023)Scalasca., , and . EEFSW, volume 14 of Aachener Informatik-Berichte, Software Engineering, page 43-48. Shaker, (2011)Exploring the Performance Envelope of the LLL Algorithm., , , , and . CSE, page 36-43. IEEE Computer Society, (2018)Enhancing the Programmability and Performance Portability of GPU Tensor Operations., , , , and . Euro-Par, volume 11725 of Lecture Notes in Computer Science, page 213-226. Springer, (2019)Recent Advances of Isogeometric Analysis in Computational Electromagnetics., , , , , , , , , and 1 other author(s). CoRR, (2017)Satellite Collision Detection using Spatial Data Structures., , , , and . IPDPS, page 724-735. IEEE, (2023)